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Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 2,789 papers shown

Title
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 88 1 0 24 May 2024
Enhancing Learning with Label Differential Privacy by Vector Approximation Puning Zhao Rongfei Fan Huiwen Wu Qingming Li Xiaogang Xu Zhe Liu 104 2 0 24 May 2024
Better Membership Inference Privacy Measurement through Discrepancy Ruihan Wu Pengrun Huang Kamalika Chaudhuri MIACV 86 1 0 24 May 2024
Private Regression via Data-Dependent Sufficient Statistic Perturbation Cecilia Ferrando Daniel Sheldon 116 1 0 23 May 2024
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective Yizhuo Chen Chun-Fu Chen Hsiang Hsu Shaohan Hu Marco Pistoia Tarek Abdelzaher 83 1 0 23 May 2024
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results K. Makhlouf Tamara Stefanovic Héber H. Arcolezi C. Palamidessi 78 4 0 23 May 2024
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data Haoran Li Xinyuan Zhao Dadi Guo Hanlin Gu Huiping Zhuang Yuxing Han Yangqiu Song Lixin Fan Qiang Yang 101 2 0 23 May 2024
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning Meenatchi Sundaram Muthu Selva Annamalai Emiliano De Cristofaro 113 15 0 23 May 2024
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model Tudor Cebere A. Bellet Nicolas Papernot 130 13 0 23 May 2024
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits Sunrit Chakraborty Saptarshi Roy Debabrota Basu FedML 122 1 0 22 May 2024
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks Mohit Prabhushankar Ghassan AlRegib UQCV 90 0 0 22 May 2024
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy Puning Zhao Lifeng Lai Li Shen Qingming Li Xiaogang Xu Zhe Liu 79 7 0 22 May 2024
Banded Square Root Matrix Factorization for Differentially Private Model Training Nikita P. Kalinin Christoph H. Lampert 93 7 0 22 May 2024
Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework Daniel Commey Sena Hounsinou Garth V. Crosby 54 7 0 19 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 138 8 0 19 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh Chawla Wenlin Yao 106 8 0 17 May 2024
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation Meenatchi Sundaram Muthu Selva Annamalai Georgi Ganev Emiliano De Cristofaro 106 13 0 16 May 2024
SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data Abdulrahman Alabdulakreem Christian M Arnold Yerim Lee Pieter M Feenstra Boris Katz Andrei Barbu 91 4 0 16 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 77 0 0 15 May 2024
Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning Chendi Wang Yuqing Zhu Weijie J. Su Yu Wang AAML 103 5 0 14 May 2024
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization Shun Takagi Li Xiong Fumiyuki Kato Yang Cao Masatoshi Yoshikawa 3DH 91 4 0 13 May 2024
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought Xiaoxiao Chi Xuyun Zhang Yan Wang Lianyong Qi Amin Beheshti Xiaolong Xu Kim-Kwang Raymond Choo Shuo Wang Hongsheng Hu 90 1 0 11 May 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation Jie Xu Karthikeyan P. Saravanan Rogier van Dalen Haaris Mehmood David Tuckey Mete Ozay 186 8 0 10 May 2024
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning Xiaoyang Xu Mengda Yang Wenzhe Yi Ziang Li Juan Wang Hongxin Hu Yong Zhuang Yaxin Liu AAML 72 5 0 07 May 2024
Differentially Private Post-Processing for Fair Regression Ruicheng Xian Qiaobo Li Gautam Kamath Han Zhao 88 3 0 07 May 2024
GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge Jin Qian Kaimin Wei Yongdong Wu Jilian Zhang Jipeng Chen Huan Bao 88 2 0 06 May 2024
Differentially Private Federated Learning without Noise Addition: When is it Possible? Jiang Zhang Konstantinos Psounis FedML 120 0 0 06 May 2024
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models George-Octavian Barbulescu Peter Triantafillou MU 116 26 0 06 May 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu Yan Huang Xin Wang Jinming Xu 86 1 0 04 May 2024
A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges Xianzhi Zhang Yipeng Zhou Di Wu Shazia Riaz Quan Z. Sheng Di Wu Linchang Xiao 47 5 0 03 May 2024
$1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy$ 1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy Stephen Meisenbacher Maulik Chevli Florian Matthes 89 6 0 02 May 2024
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models Matías Mendieta Guangyu Sun Chong Chen 96 5 0 02 May 2024
The Privacy Power of Correlated Noise in Decentralized Learning Youssef Allouah Anastasia Koloskova Aymane El Firdoussi Martin Jaggi R. Guerraoui 92 11 0 02 May 2024
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy Wei-Ning Chen Berivan Isik Peter Kairouz Albert No Sewoong Oh Zheng Xu 119 3 0 02 May 2024
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning Seyed Mahmoud Sajjadi Mohammadabadi Lei Yang Feng Yan Junshan Zhang 79 8 0 01 May 2024
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data Vikhyat Agrawal Sunil Vasu Kalmady Venkataseetharam Manoj Malipeddi Manisimha Manthena Weijie Sun Saiful Islam Abram Hindle Padma Kaul Russell Greiner FedML 125 5 0 26 Apr 2024
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning David Winderl Nicola Franco J. M. Lorenz AAML 91 3 0 25 Apr 2024
Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy Sehyun Ryu Jonggyu Jang H. Yang 84 1 0 24 Apr 2024
Federated Learning with Only Positive Labels by Exploring Label Correlations Xuming An Dui Wang Li Shen Yong Luo Han Hu Bo Du Yonggang Wen Dacheng Tao FedML 91 0 0 24 Apr 2024
GazeIntent: Adapting dwell-time selection in VR interaction with real-time intent modeling Anish S. Narkar Jan J. Michalak C. Peacock Brendan David-John 61 7 0 22 Apr 2024
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud Zhepeng Wang Yi Sheng Nirajan Koirala Kanad Basu Taeho Jung Cheng-Chang Lu Weiwen Jiang 78 5 0 20 Apr 2024
DNA: Differentially private Neural Augmentation for contact tracing Rob Romijnders Christos Louizos Yuki M. Asano Max Welling FedML 102 0 0 20 Apr 2024
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages Hilal Asi Vitaly Feldman Jelani Nelson Huy Le Nguyen Kunal Talwar Samson Zhou FedML 79 5 0 16 Apr 2024
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity Kai Yi Nidham Gazagnadou Peter Richtárik Lingjuan Lyu 138 11 0 15 Apr 2024
Privacy-Preserving Intrusion Detection using Convolutional Neural Networks M. Kodys Zhongmin Dai V. Thing 75 0 0 15 Apr 2024
Privacy at a Price: Exploring its Dual Impact on AI Fairness Mengmeng Yang Ming Ding Youyang Qu Wei Ni David B. Smith Thierry Rakotoarivelo 62 1 0 15 Apr 2024
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models Juntaek Lim Youngeun Kwon Ranggi Hwang Kiwan Maeng Edward Suh Minsoo Rhu SyDa 82 0 0 12 Apr 2024
Differentially Private Log-Location-Scale Regression Using Functional Mechanism Jiewen Sheng Xiaolei Fang 20 0 0 12 Apr 2024
Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks Matteo Tucat Anirbit Mukherjee Procheta Sen Mingfei Sun Omar Rivasplata MLT 93 1 0 12 Apr 2024
The Impact of Speech Anonymization on Pathology and Its Limits Soroosh Tayebi Arasteh T. Arias-Vergara Paula Andrea Pérez-Toro Tobias Weise Kai Packhaeuser Maria Schuster E. Noeth Andreas Maier Seung Hee Yang 102 7 0 11 Apr 2024